It’s an interesting scenario today around the landscape of Embedded Analytics. Today, we see software applications torn out of the picture, replaced with “we have an Analytics to take care of that” picture. Wouldn’t you agree? If you don’t, read the rest of the article.
Dashboards and Analytics are popping out of every reporting module you see. Be it in HR, Finance, Marketing, Sales, or even B2C platforms/e-commerce, Analytics drive the market.
There are two types of Embedded Analytics platforms you can use. These are either ‘bought’ from the market, and second is the theDIY type that is integrated with your current Business Intelligence application. At the end of the day, you have to work with both of these at some point or the other.
Types of Analytics you are expected to know about
- Sensor Data
- Location data
- Industrial Operations Management
- Social Media Monitoring and Intelligence
- Media Intelligence
- Sales Performance and Optimization
- CRM and Automation
- HRMS and HR Cloud Data Management
- Logistics and Billing
- Telecom and Subscription
Even in traditional healthcare and pharmacy companies, we see BI providers like SAS Analytics, Tableau and Sisense making a significant contribution to push the trends upward in Analytics Training and Development.
Analytics Training Keeps the Talent Race Hot
While average people might boast about knowing everything about Business Intelligence and Data Analytics and so on… But, you are not an average person! When you are working with a team of data science experts and analysts, you are ought to know what is ‘Embedded Analytics – which is the current muscle power of all BI software.
So, what is Embedded Analytics?
Embedded Analytics is a set of BI integration tools that can be seamlessly added to any non-BI applications based on data types, platform and in-house analytics. But, why is it called Embedded Analytics?
Well, the embedding functionality is added to analytics with labeling modules that bring in customization for better mix and match, look, UI/UX, dashboard reporting and hosting with multi-tenancy support.
Another function of Embedded BI Analytics is its Version Control. It allows the BI DevOps team to change the source code at any point of time—something that may not come so easy to a non-IT Professional.
Embedded BI version control, therefore, allow users to manually track and protect all past versions of the analytics systems. This prevents the loss of data, data corruption, or against any unforeseen security risks that plague current software businesses.
In short, if you are learning Analytics, you should delve practically into applications related to—
- White Labeling
- Mobile App Embedding
- Globalized Support
- Version Control
- Data Management
- Data Mashups
- OLAP/ Multi-dimensional Analysis
- Data Visualization
Analytics training is a key part of growing your career. If you are looking to up-skill your expertise in Data Science, Computing and Data Analytics, this training can provide ample opportunities with some of the leading companies in the world. Top companies are hiring talent with unique skills in Embedded Analytics, Business Intelligence and Predictive Science.